#2869 - Updates to address test failures. Updated YAML configs to remove redundant start_settings

This commit is contained in:
Charlie Crane
2025-01-08 14:42:35 +00:00
parent 66d309871f
commit 7af9d3724f
28 changed files with 111 additions and 130 deletions

View File

@@ -39,9 +39,7 @@ class AbstractTAPAgent(AbstractScriptedAgent, identifier="Abstract_TAP"):
:param timestep: The timestep to add variance to.
"""
random_timestep_increment = random.randint(
-self.config.agent_settings.start_settings.variance, self.config.agent_settings.start_settings.variance
)
random_timestep_increment = random.randint(-self.config.variance, self.config.variance)
self.next_execution_timestep = timestep + random_timestep_increment
def _select_start_node(self) -> None:

View File

@@ -42,7 +42,7 @@ class DataManipulationAgent(AbstractTAPAgent, identifier="RedDatabaseCorruptingA
self.logger.debug(msg="Performing do nothing action")
return "do_nothing", {}
self._set_next_execution_timestep(timestep + self.config.agent_settings.start_settings.frequency)
self._set_next_execution_timestep(timestep + self.config.frequency)
self.logger.info(msg="Performing a data manipulation attack!")
return "node_application_execute", {
"node_name": self.config.starting_node_name,
@@ -52,4 +52,4 @@ class DataManipulationAgent(AbstractTAPAgent, identifier="RedDatabaseCorruptingA
def setup_agent(self) -> None:
"""Set the next execution timestep when the episode resets."""
self._select_start_node()
self._set_next_execution_timestep(self.config.agent_settings.start_settings.start_step)
self._set_next_execution_timestep(self.config.start_step)

View File

@@ -6,7 +6,7 @@ import numpy as np
import pydantic
from gymnasium.core import ObsType
from primaite.game.agent.interface import AbstractScriptedAgent, AgentSettings
from primaite.game.agent.interface import AbstractScriptedAgent
__all__ = "ProbabilisticAgent"
@@ -17,8 +17,10 @@ class ProbabilisticAgent(AbstractScriptedAgent, identifier="ProbabilisticAgent")
config: "ProbabilisticAgent.ConfigSchema"
rng: Any = np.random.default_rng(np.random.randint(0, 65535))
class AgentSettings(AgentSettings):
"""ProbabilisticAgent settings."""
class ConfigSchema(AbstractScriptedAgent.ConfigSchema):
"""Configuration schema for Probabilistic Agent."""
agent_name: str = "ProbabilisticAgent"
action_probabilities: Dict[int, float]
"""Probability to perform each action in the action map. The sum of probabilities should sum to 1."""
@@ -42,16 +44,10 @@ class ProbabilisticAgent(AbstractScriptedAgent, identifier="ProbabilisticAgent")
)
return v
class ConfigSchema(AbstractScriptedAgent.ConfigSchema):
"""Configuration schema for Probabilistic Agent."""
agent_name: str = "ProbabilisticAgent"
agent_settings: "ProbabilisticAgent.AgentSettings"
@property
def probabilities(self) -> Dict[str, int]:
"""Convenience method to view the probabilities of the Agent."""
return np.asarray(list(self.config.agent_settings.action_probabilities.values()))
return np.asarray(list(self.config.action_probabilities.values()))
def get_action(self, obs: ObsType, timestep: int = 0) -> Tuple[str, Dict]:
"""